class_docstr: dataset Augmentation for SiamRPN tracking.
  
  Parameters
  ----------
  shift : int
      length of template augmentation shift
  scale : float
      template augmentation scale ratio
  blur : float
      template augmentation blur ratio
  flip : float
      template augmentation flip ratio
  color : float
      template augmentation color ratio
class_docstr_tok: ["dataset","Augmentation","for","SiamRPN","tracking",".","Parameters","--","--","--","--","--","shift",":","int","length","of","template","augmentation","shift","scale",":","float","template","augmentation","scale","ratio","blur",":","float","template","augmentation","blur","ratio","flip",":","float","template","augmentation","flip","ratio","color",":","float","template","augmentation","color","ratio"]
docstr: image Grayscale
  
  Parameters
  ----------
  image : np.array
      image
  
  Return:
      image after Grayscale
docstr_tok: ["image","Grayscale","Parameters","--","--","--","--","--","image",":","np.array","image","Return",":","image","after","Grayscale"]
code: def _gray_aug(self, image):
      """image Grayscale
  
      Parameters
      ----------
      image : np.array
          image
  
      Return:
          image after Grayscale
      """
      grayed = self.cv2.cvtColor(image, self.cv2.COLOR_BGR2GRAY)
      image = self.cv2.cvtColor(grayed, self.cv2.COLOR_GRAY2BGR)
      return image
  
file_path: gluon-cv/gluoncv/data/transforms/track.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import numpy
  from gluoncv.utils.filesystem import try_import_cv2
  from gluoncv.model_zoo.siamrpn.siamrpn_tracker import corner2center, center2corner
  from gluoncv.model_zoo.siamrpn.siamrpn_tracker import Center, Corner
label_desc: Use image node_id 6 for calling the SiamRPNaugmentation obj's underlying member method code with example usage: obj._gray_aug(image) and returns: image